add_memo (#42)

- Added memo (08ad838acbd87e6de5bf5b592fd79673f99838fb)
- Updated CONTRIBUTING.md (8efe7c3611adfcc77e45182b870fc610c0343040)

CONTRIBUTING.md

@@ -20,6 +20,20 @@ dataset = load_dataset("../.", split="train")
 
 > Note: While it is local Huggingface still uses a cache, therefore you might need to reset it after changes have been made to see that it works correctly. You can do this by deleting the cached files which you can locate using `dataset.cache_files`.
 
+## Adding a new dataset
+
+To add a new dataset you will have to create a folder under `data/{dataset_name}/`, which should look as follows:
+
+```
+  data/dataset_name
+  |- dataset_name.md
+  |- dataset_name.parquet
+  |- create.py               # optional
+```
+
+The create.py is an optional python script that allow you to recreate the dataset from the source. This is typically to allow us to reproduce the 
+dataset with fixes or update the dataset to the latest version using an API.
+
 ## Installing dependencies
 
 This repo comes with a few dependencies you need to install to make this run. It uses a [makefile](https://opensource.com/article/18/8/what-how-makefile) to run commands and a [uv](https://docs.astral.sh/uv/) for package management. Once you have uv installed you can install the dependencies using:
@@ -58,6 +72,7 @@ Before you make the PR do be sure to make sure that you have completed the follo
 - [ ] I have added/changed a dataset and have
   - [ ] I have updated descriptive statistics using `make update-descriptive-statistics`
   - [ ] I have bumped the version use `make bump-version`
+- [ ] If I have added a `create.py` script I have added the [script dependencies](https://docs.astral.sh/uv/guides/scripts/#declaring-script-dependencies) required to run that script.
 
 ### Examples of Previous PRs
 To see example PR you can see the following:

README.md

@@ -9,6 +9,10 @@ configs:
   data_files:
   - split: train
     path: data/lexdk/*.parquet
+- config_name: memo
+  data_files:
+  - split: train
+    path: data/memo/*.parquet
 - config_name: opensubtitles
   data_files:
   - split: train
@@ -134,7 +138,7 @@ https://github.com/huggingface/datasets/blob/main/templates/README_guide.md
 <!-- START README TABLE -->
 |              |                                                                                                                                                             |
 | ------------ | ----------------------------------------------------------------------------------------------------------------------------------------------------------- |
-| **Version** | 1.0.8 |
+| **Version**  | 1.0.9                                                                                                                                                       |
 | **Language** | dan, dansk, Danish                                                                                                                                          |
 | **License**  | Permissible, See the respective dataset                                                                                                                     |
 | **Models**   | For model trained used this data see [danish-foundation-models](https://huggingface.co/danish-foundation-models)                                            |
@@ -278,6 +282,7 @@ Below follows a brief overview of the sources in the corpus along with their ind
 | Source              | Description                                                                                                                  | N. Tokens   | License                |
 |:--------------------|:-----------------------------------------------------------------------------------------------------------------------------|:------------|:-----------------------|
 | [lexdk]             | Permissible use articles from [lex.dk](https://lex.dk)                                                                       | 5.69M       | [CC-BY-SA 4.0]         |
+| [memo]              | The MeMo corpus comprising almost all Danish novels from the period 1870-1899, known as the Modern Breakthrough              | 9.28M       | [CC-BY-SA 4.0]         |
 | [opensubtitles]     | Danish subsection of [OpenSubtitles](https://opus.nlpl.eu/OpenSubtitles/corpus/version/OpenSubtitles)                        | 271.60M     | [CC-0]                 |
 | [retsinformationdk] | [retsinformation.dk](https://www.retsinformation.dk) (legal-information.dk) the official legal information system of Denmark | 516.54M     | [Danish Copyright Law] |
 | [ep]                | The Danish subsection of [Europarl](https://aclanthology.org/2005.mtsummit-papers.11/)                                       | 100.89M     | [CC-0]                 |
@@ -301,9 +306,10 @@ Below follows a brief overview of the sources in the corpus along with their ind
 | [nordjyllandnews]   | Articles from the Danish Newspaper [TV2 Nord](https://www.tv2nord.dk)                                                        | 37.91M      | [CC-0]                 |
 | [relig]             | Danish religious text from the 1700-2022                                                                                     | 1.24M       | [CC-0]                 |
 | [nota]              | The text only part of the [Nota lyd- og tekstdata](https://sprogteknologi.dk/dataset/nota-lyd-og-tekstdata) dataset          | 7.30M       | [CC-0]                 |
-| **Total**           |                                                                                                                              | 1.85B       |                        |
+| **Total**           |                                                                                                                              | 1.86B       |                        |
 
 [lexdk]: data/lexdk/lexdk.md
+[memo]: data/memo/memo.md
 [opensubtitles]: data/opensubtitles/opensubtitles.md
 [retsinformationdk]: data/retsinformationdk/retsinformationdk.md
 [ep]: data/ep/ep.md

data/lexdk/lexdk.md

@@ -1,5 +1,5 @@
 ---
-pretty_name: OpenSubtitles
+pretty_name: Lex.dk Open
 language:
   - da
 license: cc-by-sa-4.0
@@ -13,7 +13,7 @@ source_datasets:
   - alexandrainst/lexdk-open
 ---
 
-# Dataset Card for OpenSubtitles
+# Dataset Card for Lex.dk Open
 
 <!-- START-SHORT DESCRIPTION -->
 Permissible use articles from [lex.dk](https://lex.dk).

data/memo/create.py

@@ -0,0 +1,108 @@
+# /// script
+# requires-python = "==3.12"
+# dependencies = [
+#     "datasets==3.2.0",
+# ]
+# ///
+from datetime import datetime, timedelta
+from pathlib import Path
+from typing import cast
+
+from datasets import Dataset, load_dataset
+
+column_order = [
+    "text",
+    "source",
+    "id",
+    "added",
+    "created",
+    "license",
+    "domain",
+    "metadata",
+]
+
+
+def convert_sample(example: dict) -> dict:
+    # from sample:
+    # {
+    #     "filename": "1894_Aagaard_UnderligeFyre",
+    #     "full_firstnames": "Oscar",
+    #     "auth_first": "Oscar",
+    #     "auth_last_modern": "Aagaard",
+    #     "pseudonym": None,
+    #     "publ_date": 1894,
+    #     "title_modern": "Underlige Fyre",
+    #     "published_under_gender": "male",
+    #     "real_gender": "male",
+    #     "nationality": "no",
+    #     "auth_id": 1,
+    #     "auth_last": "Aagaard",
+    #     "title": "Underlige Fyre",
+    #     "surname": "Aagaard",
+    #     "title.1": "Underlige Fyre",
+    #     "subtitle": "Fortælling",
+    #     "volume": None,
+    #     "year": 1894,
+    #     "pages": 263.0,
+    #     "illustrations": "n",
+    #     "typeface": "roman",
+    #     "publisher": "Gyldendal",
+    #     "price": 3.0,
+    #     "source": "KB",
+    #     "notes": None,
+    #     "filepath": None,
+    #     "historical": None,
+    #     "period": "nan",
+    #     "period_notes": "nan",
+    #     "novel_start": 13.0,
+    #     "novel_end": 275.0,
+    #     "serialno": 854.0,
+    #     "category": "O",
+    #     "e_canon": 0,
+    #     "ce_canon": 0,
+    #     "lex_canon": 0,
+    #     "text": "Første kapitel. Argus & co. Waterclerker — hvormange er der vel, ...",
+    # }
+
+    min_date = datetime.fromisoformat(f"{example["year"]}-01-01")
+    max_date = datetime.fromisoformat(f"{example["year"]}-12-31")
+    text = f"{example['title_modern']}\n\nSkrevet af {example['full_firstnames']} {example['auth_last_modern']}\nPubliceret {example['year']} af {example['publisher']}\n\n{example['text']}"
+
+    new_example = dict(
+        text_new=text,
+        id=example["filename"],
+        source="memo",
+        domain="Wiki & Books",
+        license="cc-by-sa-4.0",
+        added="2025-03-08",
+        created=f"{min_date.date()}, {max_date.date()}",
+        metadata={"source-pretty": "MeMo Canonical Novels"},
+    )
+
+    return new_example
+
+
+def main():
+    ds = load_dataset("chcaa/memo-canonical-novels", split="train")
+    ds = cast(Dataset, ds)
+    dates = [datetime.fromisoformat(f"{date}-01-01").date() for date in ds["year"]]
+
+    max_date = max(dates) + timedelta(days=364)
+    print(str(min(dates)), ",", str(max_date))  # 1870-01-01 , 1899-12-31
+
+    assert len(set(ds["filename"])) == len(ds), "IDs are not unique"
+    assert len(set(ds["text"])) == len(ds), "Texts are not unique"
+
+    ds = ds.map(convert_sample, num_proc=4)
+    ds = ds.select_columns(column_order[1:] + ["text_new"])
+    ds = ds.rename_columns({"text_new": "text"})
+    # ensure order
+    ds = ds.select_columns(column_order)
+
+    dir = Path(__file__).parent
+    save_path = dir / f"{dir.name}.parquet"
+    ds.to_parquet(save_path)
+
+
+if __name__ == "__main__":
+    main()

data/memo/descriptive_stats.json

@@ -0,0 +1,7 @@
+{
+  "number_of_samples": 839,
+  "average_document_length": 32813.50774731824,
+  "number_of_tokens": 9283194,
+  "language": "dan, dansk, Danish",
+  "revision": "50a993754baa283ef19fd7ee966e3a4d6f125c83"
+}

data/memo/memo.md

@@ -0,0 +1,120 @@
+---
+pretty_name: MeMo Canonical Novels
+language:
+  - da
+license: cc-by-sa-4.0
+license_name: CC-BY-SA 4.0
+task_categories:
+  - text-generation
+  - fill-mask
+task_ids:
+  - language-modeling
+source_datasets:
+  - MiMe-MeMo/Corpus-v1.1
+---
+
+# Dataset Card for MeMo Canonical Novels
+
+<!-- START-SHORT DESCRIPTION -->
+The MeMo corpus comprising almost all Danish novels from the period 1870-1899, known as the Modern Breakthrough.
+<!-- END-SHORT DESCRIPTION -->
+
+The MeMo corpus is established to investigate literary and cultural change in a seminal epoch of Scandinavian cultural and social history (known as 'the modern breakthrough') using natural language processing and other computational methods. The corpus consists of original novels by Norwegian and Danish authors printed in Denmark in the period 1870-99. It includes 858 volumes, totaling 4.5 million sentences and 65 million words.
+
+
+Lex.dk is a Danish online encyclopedia platform providing access to reliable and authoritative knowledge on a wide range of topics. It is created and curated by experts, ensuring high-quality, accurate content. The platform serves as a central hub for general and specialized information in Danish, making it a valuable resource for education, research, and general learning.
+
+
+Additional information about this dataset can be found on their [project page](https://nors.ku.dk/english/research/projects/measuring-modernity/) or on their huggingface [dataset](https://huggingface.co/datasets/MiMe-MeMo/Corpus-v1.1).
+
+
+
+
+## Dataset Description
+
+<!-- START-DESC-STATS -->
+- **Language**: dan, dansk, Danish
+- **Number of samples**: 839
+- **Number of tokens (Llama 3)**: 9.28M
+- **Average document length (characters)**: 32813.51
+<!-- END-DESC-STATS -->
+
+
+## Dataset Structure
+An example from the dataset looks as follows.
+
+<!-- START-SAMPLE -->
+```py
+{
+  "text": "Underlige Fyre\n\nSkrevet af Oscar Aagaard\nPubliceret 1894 af Gyldendal\n\nFørste kapitel. Argus & co. W[...]",
+  "source": "memo",
+  "id": "1894_Aagaard_UnderligeFyre",
+  "added": "2025-03-08",
+  "created": "1894-01-01, 1894-12-31",
+  "license": "cc-by-sa-4.0",
+  "domain": "Wiki & Books",
+  "metadata": {
+    "source-pretty": "MeMo Canonical Novels"
+  }
+}
+```
+
+### Data Fields
+
+An entry in the dataset consists of the following fields:
+
+- `text`(`str`): The content of the document.
+- `source` (`str`): The source of the document (see [Source Data](#source-data)).
+- `id` (`str`): An unique identifier for each document.
+- `added` (`str`): An date for when the document was added to this collection.
+- `created` (`str`): An date range for when the document was originally created.
+- `license` (`str`): The license of the document. The licenses vary according to the source. 
+- `domain` (`str`): The domain of the source
+- `metadata/source-pretty` (`str`): The long form version of the short-form source name
+- `metadata/*`: Potentially additional metadata
+<!-- END-SAMPLE -->
+
+
+### Dataset Statistics
+
+<!-- START-DATASET PLOTS -->
+<img src="./images/dist_document_length.png" width="600" style="margin-right: 10px;" />
+<img>
+<!-- END-DATASET PLOTS -->
+
+
+## Additional Information
+
+
+### Contact
+For questions related to the processing and conversion feel free to open a [discussion thread](https://huggingface.co/datasets/danish-foundation-models/danish-dynaword/discussions) for question related to the initial collect of the data please contact the project PI, Jens Bjerring-Hansen, associate professor at Copenhagen University.
+
+### Citation Information
+
+This dataset is derived from the publicly availabe dataset [MiMe-MeMo/Corpus-v1.1](https://huggingface.co/datasets/MiMe-MeMo/Corpus-v1.1) and was release as a part of paper Bjerring-Hansen, Jens, et al. "Mending Fractured Texts. A heuristic procedure for correcting OCR data." (2022). https://ceur-ws.org/Vol-3232/paper14.pdf. Which has the follwing citation:
+
+```
+@inproceedings{bjerring2022mending,
+  title={Mending Fractured Texts. A heuristic procedure for correcting OCR data},
+  author={Bjerring-Hansen, Jens and Kristensen-McLachlan, Ross Deans and Diderichsen, Philip and Hansen, Dorte Haltrup},
+  booktitle={CEUR Workshop Proceedings},
+  volume={3232},
+  pages={177--186},
+  year={2022},
+  organization={ceur workshop proceedings}
+}
+```
+
+### Other uses of this dataset
+
+This study have additionally 
+```
+@inproceedings{feldkamp_canonical_2024,
+    address = {Miami, Florida, USA},
+    title = {Canonical {Status} and {Literary} {Influence}: {A} {Comparative} {Study} of {Danish} {Novels} from the {Modern} {Breakthrough} (1870--1900)},
+    booktitle = {Proceedings of the {Joint} 4th {International} {Conference} on {Natural} {Language} {Processing} for {Digital} {Humanities}},
+    publisher = {Association for Computational Linguistics, Forthcoming},
+    author = {Feldkamp, Pascale and Lassche, Alie and Kostkan, Jan and Kardos, Márton and Baunvig, Katrine F. and Nielbo, Kristoffer L.},
+    year = {2024},
+}
+```

data/memo/memo.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5dc0a3190ff6ec398b885445b4ba6e6c185bb2364c81c56985845d5386d72f92
+size 17796900

data/opensubtitles/create.py

@@ -1,3 +1,11 @@
+# /// script
+# requires-python = "==3.12"
+# dependencies = [
+#     "datasets==3.2.0",
+#     "spacy==3.8.3",
+# ]
+# ///
+
 from pathlib import Path
 from typing import cast
 

descriptive_stats.json

@@ -1 +1,7 @@
-{"number_of_samples": 588922, "average_document_length": 9245.09222613521, "number_of_tokens": 1852293828, "language": "dan, dansk, Danish", "revision": "dd7498844276f5f97f8a318b3def20f8b576dd91"}
+{
+    "number_of_samples": 588922,
+    "average_document_length": 9245.09222613521,
+    "number_of_tokens": 1852293828,
+    "language": "dan, dansk, Danish",
+    "revision": "97b3aa5dd63b276422aad3b483e6850a9188c013"
+}

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "danish-dynaword"
-version = "1.0.8"
+version = "1.0.9"
 description = "project code for the danish dynaword project"
 readme = "README.md"
 requires-python = ">=3.12,<3.13" # 3.13 have issues with spacy and pytorch
@@ -15,14 +15,10 @@ dependencies = [
     "transformers>=4.47.1", # tokenization
     # development
     "ipykernel>=6.29.5",
+    "pip>=25.0.1",
     # test
     "pytest>=8.3.4",
     # formatting
     "ruff>=0.8.3",
     # new
 ]
-
-[project.optional-dependencies]
-opensubtitles = [
-    "spacy>=3.8.3", # only need for opensubtitles/create.py
-]

src/update_descriptive_statistics.py

@@ -111,7 +111,7 @@ class DescriptiveStatsOverview:
         data = self.__dict__
         data["revision"] = get_current_revision()
         with path.with_suffix(".json").open("w") as f:
-            json.dump(self.__dict__, f)
+            json.dump(self.__dict__, f, indent=2)
 
     @classmethod
     def from_disk(cls, path: Path):

test_results.log

@@ -1,13 +1,13 @@
 ============================= test session starts ==============================
-platform darwin -- Python 3.12.7, pytest-8.3.4, pluggy-1.5.0
-rootdir: /Users/kristianjensen/Documents/danish-dynaword
+platform darwin -- Python 3.12.0, pytest-8.3.4, pluggy-1.5.0
+rootdir: /Users/au561649/Github/danish-dynaword
 configfile: pyproject.toml
-collected 100 items
+collected 104 items
 
-src/tests/test_dataset_schema.py ....................................... [ 39%]
-.................................                                        [ 72%]
-src/tests/test_duplicates.py sssssssssssssssssssssssss                   [ 97%]
+src/tests/test_dataset_schema.py ....................................... [ 37%]
+....................................                                     [ 72%]
+src/tests/test_duplicates.py ssssssssssssssssssssssssss                  [ 97%]
 src/tests/test_load.py ..                                                [ 99%]
 src/tests/test_unique_ids.py .                                           [100%]
 
-======================== 75 passed, 25 skipped in 6.31s ========================
+======================== 78 passed, 26 skipped in 4.17s ========================

uv.lock

@@ -1,9 +1,10 @@
 version = 1
+revision = 1
 requires-python = "==3.12.*"
 resolution-markers = [
     "sys_platform == 'darwin'",
     "platform_machine == 'aarch64' and sys_platform == 'linux'",
-    "(platform_machine != 'aarch64' and sys_platform != 'darwin') or (sys_platform != 'darwin' and sys_platform != 'linux')",
+    "(platform_machine != 'aarch64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')",
 ]
 
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